
Professional Galaxy AB · Stockholm
Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, elec...
Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software
development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver
strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on
high quality, professionalism and clear, measurable results.
We are now seeking a Data Engineer for one of our clients.
Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined
target vision in GCP platfrom.
Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud
Platform (GCP).
Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability,
observability, and performance.
Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new
opportunities to support evolving business needs.
Partner with product teams across domains to enable data sharing and integration within a data mesh context.
Drive continuous improvement, enhance data engineering practices, and reduce technical debt.
Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.
Nice to Have
Experience with GCP services such as Cloud Run
Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive).
Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi).
Experience with DBT in production data transformation workflows.
Knowledge of modern data governance and cataloging practices.
Experience with data visualization tools and collaboration with analytical stakeholders.
Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.
In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent,
education and personal qualities.
Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.
Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments
before the deadline. If you are interested, we recommend that you apply immediately.
JOIN THE DATA & AI JOURNEY AT SCHIBSTED MEDIA Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. ABOUT THE ROLE We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. WHAT YOU'LL DO * Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions * Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python * Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media * Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices * Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform * Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams * Develop maintainable data models that support analytics, reporting, and AI use cases * Contribute to good practices for data modeling, transformation, testing, documentation, and governance * Participate in code reviews, technical discussions, and continuous improvement of our ways of working * Contribute to a culture of ownership, learning, and collaboration WHAT WE'RE LOOKING FOR MUST HAVE * 4+ years of experience as a Data Engineer or similar role * Strong SQL skills and a good understanding of modern data warehousing concepts * Experience building data pipelines and working with orchestration tools such as Airflow or similar * Hands-on experience with dbt and modern data transformation practices * Experience with Python for data engineering or automation * Experience with Git and modern software engineering practices * Ability to take ownership of tasks and deliver maintainable solutions * Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. * Collaborative mindset and willingness to learn from and contribute to the team NICE TO HAVE * Experience with software engineering practices such as automated testing, CI/CD, and code review workflows * Experience with Snowflake or similar cloud data platforms * Experience with Infrastructure as Code (Terraform or similar) * Experience with AWS, GCP, or Azure * Interest in data quality, observability, governance, or platform engineering WHY JOIN US? * Build the platform that enables data and AI across Schibsted Media * Work with modern technologies and experienced engineers across multiple teams * Flexible working hours and hybrid work options with strong trust and autonomy * International environment with offices in Oslo, Stockholm, and Krakow * Strong learning culture with learning budget and active engineering & AI communities * Access to Schibsted's premium media products, including news and podcasts ABOUT YOU You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.
Job location: Stockholm-Solna Skills Technical skills: SQL, Python, Cloud Computing, Data Pipeline Soft skills: Teamwork, Communication, Problem Solving, Adaptability, Eagerness to Learn About the job Welcome to Ultra Group AB, a team of highly skilled consultants within Data, Analytics, AI & MarTech. Our mission is to help businesses reach new heights of digital maturity and be their compass in the digital world. Would you like to be part of the Celsus Engineering AB family? We’re currently seeking a Data Engineer to help us strengthen our Data and Analytics team. Your Role as a Data Engineer In this role, you will work with our customers on various data engineering projects. This role is perfect for those with a good foundation in data engineering, and a passion for operational excellence in data management and analytics. You will design, build, and maintain efficient, scalable data pipelines and work closely with data scientists, analysts, and stakeholders to deliver customized data solutions that drive impactful business decisions. In this role, you will Develop and manage scalable data pipelines, ensuring efficient and reliable data flows. Implement processes and solutions to improve data quality, accuracy, and consistency. Create scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work. Build and maintain data integrations, including file, messaging, and API-based systems. Develop data models tailored to meet business requirements. Contribute to implementing infrastructure as code solutions. Collaborate with data scientists, architects, and software developers to support the creation of data architecture and governance models. Enhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval. Implement security measures to protect data from unauthorized access. Ensure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage. Monitor cost efficiency and identify areas for optimization. Is this you? You are passionate about building data products and enabling data-driven decisions. You enjoy sharing knowledge and learning new things in the data, analytics & AI area. You want to develop and maintain robust, scalable data and analytics systems. You have the ability to work both independently and collaboratively within a team environment. Fluent in English both written and verbal. Your experience: You are eager to learn and have a basic understanding of working with data sets You are gaining experience with ETL workflows and excited to improve your skills in streamlining these processes. You have a foundational knowledge of big data concepts, cloud technologies, and data modeling. Your skills in SQL and Python are strong, with a focus on writing efficient queries. You are gaining hands-on experience with cloud platforms like AWS, Azure, or Google Cloud and are keen to expand your knowledge 💡 About Us Ultra Group AB is a collective of consulting companies collaborating with clients across Telecom, Aerospace, Defence, Marine, Automotive, Industrial, IT, Cybersecurity, Functional Safety, and AR/VR sectors. We do not just offer a wide range of assignments — we build strong connections between our clients and our employees, always with your satisfaction at the core. Founded by consultants themselves, Ultra Group is built on a foundation where people always come first. 🔗 Visit our website for more information: https://ultragroup.se/about-us/ ---------------------------------------------------------------------------------------------------------------------------------- 🎁 Ultra Group Offers * 💰 Competitive salaries * 🏖 25 days of paid vacation * 💪 Wellness allowance (up to 5,000 SEK annually, including massage and other wellness benefits) * 🏥 Healthcare through our partnership with one of Sweden’s leading providers — instant access to care without long waiting times or referrals
Om tjänsten Vill du ta en nyckelroll i förvaltningen och vidareutvecklingen av en verksamhetskritisk data warehouse-lösning i en stor och komplex organisation? Vi söker en erfaren Data Engineer som blir en central del av ett team med gemensamt ansvar för kundens data warehouse, i tätt samarbete med drift, utveckling och verksamhet. Arbetsuppgifter * Kartlägga och dokumentera informationsflöden samt beroenden till kringliggande system * Använda SQL för att analysera befintlig lösning, förstå samband och identifiera förbättringspotential * Analysera och felsöka inkommande incidenter * Koordinera och samverka med drift- och utvecklingspartner * Agera teknisk kravställare mot utvecklingsteamet * Arbeta med test- och releasehantering * Fungera som arkitekt i befintlig lösning samt stötta inom governance och IT-säkerhet * Driva initiativ för förbättring respektive avveckling Kvalifikationer (ska-krav) * God kompetens inom SQL och SSIS * God förståelse för informationsmodellering * Erfarenhet av Azure Synapse och övriga Azure-molntjänster * Erfarenhet av ett verksamhetsövergripande beslutsstöd * Förmåga att analysera stora datamängder, se samband och omsätta det till verksamhetsnytta * Självständig och strukturerad arbetsstil * God förståelse för test, release och kvalitetssäkring * Erfarenhet från större, komplexa organisationer med många intressenter * Obehindrad engelska i tal och skrift Meriterande * Tabulärmodeller och Power BI * Databricks * Agil utveckling och arbete i tågstruktur (SAFe) Personliga egenskaper Du trivs i skärningspunkten mellan teknik och verksamhet, har stark analytisk förmåga och navigerar tryggt i stora datamängder. Du är strukturerad och självgående, en god kommunikatör och van att agera teknisk kravställare och samarbeta effektivt med drift, utveckling och andra intressenter i en komplex miljö.